RU2601138C2 - Method for providing recommend information for mobile terminal browser and system using the same - Google Patents

Abstract

FIELD: information technology.

SUBSTANCE: present disclosure provides a method and system for providing recommend information for mobile terminal browser. Method for providing recommend information for mobile terminal browser comprises a mobile terminal browser classifying each website within a historical website record, using at least one classifier, calculating a score of each classifier of at least one classifier of each website, adding scores of identical classifiers to obtain an addition result of each classifier, wherein the classifier corresponding to the website is a characteristic of this website; ranking, by the mobile terminal browser, the various classifiers according to the addition results; starting from a classifier having a highest score, extracting a set number of classifiers and sending the extracted classifiers to a server for generation by the server of the recommend information associated with the classifiers; receiving and displaying the recommend information associated with the classifiers from the server.

EFFECT: technical result is efficient receiving recommended information by the user.

18 cl, 2 dwg, 1 tbl

Description

This application is a translation into the national phase of the international application PCT / CN 2013/079050, which claims priority in Chinese patent application No. 201210236618.9, filed July 10, 2012, the entire contents of which are incorporated herein by reference.

FIELD OF THE INVENTION

The present invention relates to network information technologies, in particular, to a method and system using this method of providing recommended information for mobile terminal browsers.

State of the art

The existing method for providing recommended information for mobile terminal browsers, in particular, includes: selecting a mobile terminal by the user to open the browser, transmitting the request to the server by the browser, and transmitting the pre-generated recommended information to the browser by the server for display.

In the existing method, for any user of the mobile terminal, the recommended information issued and returned by the server is the same. In other words, the server transmits the same recommended information to all mobile terminals. However, different users of mobile terminals have their different needs for recommended information, so the recommended information provided in accordance with the existing method is devoid of specificity and accuracy, and it is problematic to satisfy the different needs of different users with the help of such information.

Disclosure of invention

In accordance with one aspect of the present invention, a method for providing recommended information for a browser of a mobile terminal comprises:

classification by the browser of the mobile terminal of each website within the history of visits to websites, calculating the score of each classifier of each website, summing the points of identical classifiers to obtain the total result of each classifier;

ranking by the browser of the mobile terminal of various classifiers in accordance with the total results, starting with the classifier with the highest score, selecting the set number of classifiers and transferring the selected classifiers to the server;

server generation of recommended information associated with classifiers, and transmission of the generated recommended information to a browser for display.

In accordance with another aspect of the present invention, a recommended information system for a browser of a mobile terminal includes a browser and a server;

moreover, the browser is configured to classify each website within the history of visits to websites, calculate the score of each classifier of each website, summarize the points of identical classifiers to obtain the total result of each classifier, ranking various classifiers in accordance with the total results, starting with the classifier, having the highest score, highlighting the set number of classifiers and transferring the selected classifiers to the server;

the server is configured to receive classifiers from the browser, generate recommended information associated with the classifiers, and transmit the generated recommended information to the browser for display.

In accordance with another aspect of the present invention, a method for providing recommended information for a browser of a mobile terminal comprises:

analysis through the browser of the mobile terminal of the history of visits to websites accessed by the user using the browser of the mobile terminal in order to determine user preferences;

message, through the browser of the mobile terminal, on its own initiative, user preferences to the server;

receiving, through the server, user preferences and generating recommended information based on user preferences;

providing, through the server, the recommended information to the browser for display.

In accordance with another aspect of the present invention, there is provided a computer-readable storage medium comprising a set of instructions for providing recommended information for a browser of a mobile terminal, the set of instructions being intended to induce at least one processor to perform the following actions:

classification by the browser of the mobile terminal of each website within the history of website visits, calculating the score of each classifier of each website, summing the points of identical classifiers to obtain the total result of each classifier;

ranking by the browser of the mobile terminal of various classifiers in accordance with the total results, starting with the classifier with the highest score, sampling the set number of classifiers and transferring the selected classifiers to the server for the server to generate the recommended information associated with the classifiers;

receiving and displaying recommended information associated with classifiers from the server.

Other aspects of the invention will be more apparent to those skilled in the art in light of the description, claims, and accompanying drawings.

Brief Description of the Drawings

FIG. 1 is a flowchart of a method for providing recommended information for a browser of a mobile terminal in accordance with the present invention; and

FIG. 2 is a block diagram of a recommended information system for a browser of a mobile terminal in accordance with the present invention.

The implementation of the invention

In the following description of embodiments of the invention, reference is made to the accompanying drawings, which are part of the description and which show, by way of example, specific embodiments of the invention that may be practiced. It should be understood that other embodiments of the invention may be used and structural changes may be made without departing from the scope of the disclosed embodiments.

Examples of mobile terminals that can be used in accordance with various embodiments include, but are not limited to, a tablet personal computer (PC) (including, but not limited to, an Apple iPad and other touch screen devices operating under running Apple iOS, Microsoft Surface, and other touch-screen devices running the Windows operating system and tablet devices running the Android operating system), mobile phone, smartphone (in including, but not limited to, Apple iPhone, Windows Phone and other smartphones running Windows Mobile or Pocket PC, and smartphones running Android, Blackberry, or Symbian), a device for e-book readers (including, but not limited to, Amazon Kindle and Barnes & Noble Nook), a compact computer (including, but not limited to, computers running the Apple Mac operating system, Windows operating system, opera Android operating system and / or Google Chrome operating system) or devices installed on vehicles running any of the above operating systems or any other operating systems, all of which are well known to those skilled in the art.

The present invention provides recommended information for a browser of a mobile terminal for various mobile terminals based on information about a user's access history to websites. FIG. 1 is a flow diagram of a method for providing recommended information for a browser of a mobile terminal in accordance with the present invention, the method comprising:

Step 101: the browser classification of the mobile terminal of each website within the history of website visits.

The browser displays in the cache the history of visits to websites. The web browsing history records information about the browsing history of the web sites by the user, including the web site, web site name, access time, etc.

The present invention classifies websites according to the characteristics of each website. Each website can be classified using at least one classifier. Table 1 below shows the classification rules for websites, given that, as an example, each website has two classifiers, including a primary classifier and a secondary classifier.

Table 1 contains some information about website classification rules. In table 1, classification 1 refers to the primary classifier, and classification 2 refers to the secondary classifier. Some websites each may include a primary classifier and a secondary classifier at a time, while some websites each may include only a primary classifier with an empty secondary classifier.

After the user makes a choice to open the mobile terminal’s browser, the browser reads the website information from the cached website browsing history. In particular, depending on the needs, information of those websites that were accessed before the set point in time, for example, information of those websites that were accessed on previous days or one previous month, can be read. If the read information contains the same websites, one of these websites is stored. Then from table 1, related to the read websites, the corresponding classifiers can be found.

Step 102: the browser calculates the score of each classifier of each website, summing the points of identical classifiers to obtain the total result of each classifier.

One way to calculate the score of each classifier of each website can be set in accordance with actual needs, in particular, for example, it can be

setting the first weight value and the second weight value, respectively, for the primary classifier and the secondary classifier of each website;

calculating the probability score of the selection of each website, multiplying the first weight value by the probability score of the selection of each corresponding website to obtain a multiplication result that can be used as a primary classifier score; multiplying the second weight value by the probability score of each respective website selection to obtain a multiplication result that can be used as a secondary classifier score.

Based on the following: websites that have been read from the website’s visit history and which were accessed before the set point in time include YOUKU (access once), Tudou (access once), Sohu (exercise access once) and Qidian Chinese novel network (access four times), the first weight value is set to 5, the second weight value is set to 2.5, and the number of accesses to the identical website up to a specified point in time can be used as a probability scorechoosing an identical website, i.e. the probability score for choosing each of YOUKU, Tudou and Sohu is 1, and the probability score for choosing Qidian Chinese novel network is 4, therefore, the points of different classifiers obtained as a result of the calculation are:

point "news": 5 × 1 = 5;

point "video": 2.5 × 1 + 5 × 1 + 2.5 × 1 + 5 × 1 = 15;

reading score: 5 × 4 = 20.

Here, the “reading” score is the highest, the “video” score is average, and the “news” score is the smallest.

Step 103: ranking the browser of the mobile terminal of various classifiers in accordance with the total results, starting with the classifier with the highest score, selecting the set number of classifiers and transferring the selected classifiers to the server.

Based on the example captured in step 102, if the set number is 2, then the selected classifiers include “reading” and “video”.

Step 104: the server generating the recommended information associated with the classifiers and transmitting the generated recommended information to the browser for display.

After the server receives classifiers, the recommended information associated with these classifiers can be generated in several ways, which are illustrated by the examples below.

One way may be as follows:

obtaining appropriate websites in accordance with accepted classifiers, generating website navigation information in accordance with the received websites, and transferring a browser start page containing website navigation information to a browser for display. One classifier can correspond to several websites, after the server receives the classifier, the server can select “hot” websites from the corresponding websites to generate information on website navigation.

Another way may be as follows:

setting an input element for the read content on the browser start page and transferring the browser start page to the browser for display; and

receiving a request for readable content transmitted from the browser, generating a readable webpage associated with the received classifiers, and transmitting the generated readout webpage to the browser for display.

In particular, the input element for readable content installed on the browser start page may be a button. If the user clicks this button, the browser sends a request for readable content to the server. After the server receives the request for readable content, the server selects the readable content associated with the received classifiers, generates a readable content web page, and transmits the generated readable content web page to the browser. For example, one classifier may be “entertainment,” the server selects information about the currently popular entertainment, generates a readable content web page corresponding to the selected entertainment information, and transmits the generated readable content web page to a browser for display.

Another way could be this:

generating message content associated with the accepted classifiers, embedding message content in a web page that the user accesses, and transferring the web page to a browser for display. In particular, the content of messages can be embedded in a button on the browser start page as a text message. When the user views the start page, the user can read the message in the button on the start page, in this case it is assumed that the message is currently popular tourist information. In addition, the content of the message can be displayed as advertising content with a small pop-up window.

The mobile terminal browser may, for example, be a QQ browser (HD version, developed and released by Tencent co. Itd).

In this invention, by classifying the websites in the history of website visits, selecting classifiers with higher scores and generating the recommended information by the server according to the selected classifiers, the provision of recommended information for each browser of the mobile terminal based on the access history information can be achieved user access to websites, thus the recommended information transmitted to the browser of the mobile terminal is more specific, more accurate and can meet the various needs of users.

In the present invention, by examining the browsing history of websites accessed through a browser, basic browser user behavior can be obtained to analyze and determine user preferences for website types. In accordance with the browser's primary user preferences, the server can intelligently match website navigation information, readable content information or message content with the user's preference and provide the browser with the associated information for display. In addition, the browser, on its own initiative, reports to the server not the initial data of the website, but user preferences, i.e. highlighted classifiers obtained as a result of the analysis, thereby protecting the user's private sphere. Based on the classifiers transmitted by the browser, the server can reliably receive user behavior options and transfer the recommended information preferred by the user back to the browser, thus, a pronounced degree of optimization of the user experience can be achieved.

FIG. 2 is a block diagram of a system for providing recommended information for a browser of a mobile terminal in accordance with the present invention, the system including a browser and a server.

The browser is configured to classify each website within the history of website visits, calculate the score of each classifier of each website, and summarize the score of identical classifiers to obtain the total result of each classifier. In another embodiment, the browser is configured to rank the various classifiers according to the summary results, starting with the classifier with the highest score, fetching the set number of classifiers, and transferring the selected classifiers to the server.

The server is configured to receive classifiers from the browser, generate recommended information associated with the classifiers, and transmit the generated recommended information to the browser for display.

Optionally, the classifiers of each website may include a primary classifier and a secondary classifier. The browser includes a point calculation module configured to set the first weight value and the second weight value, respectively, for the primary classifier and secondary classifier of each website, calculate the probability score of the selection of each website, multiply the first weight value by the probability score of the selection of each corresponding web -site to obtain the result of multiplication, which can be used as a primary classifier score; multiplying the second weight value by the probability score of each respective website selection to obtain a multiplication result that can be used as a secondary classifier score.

Optionally, the server includes a first module for generating recommended information configured to receive the respective websites according to the accepted classifiers, generate website navigation information according to the received websites, and transmitting the browser start page containing the navigation information website, in a browser to display.

Optionally, the server includes a second recommended information generation module configured to set an input element for readable content on the browser start page and transmit the browser start page to the browser for displaying, receiving a request for readable content transmitted from the browser, generating a webpage of readable content associated with with accepted classifiers, and transferring the generated web page of the read content to the browser for display.

Optionally, the server includes a third module for generating recommended information configured to generate advertising content associated with the accepted classifiers, embed the advertising content in a web page that the user accesses, and transmit the web page to a browser for display.

The methods, modules, and system described herein may be implemented in hardware, machine-readable instructions, or a combination of hardware and machine-readable instructions. The machine-readable instructions used in the examples disclosed herein may be stored on a storage medium readable by at least one or more processors, for example, a hard disk, a CD-ROM, a DVD, a CD, a floppy disk, a storage device magnetic tape, RAM, ROM, or other suitable data storage device, or at least a portion of machine-readable instructions can be replaced by specialized hardware, such as custom integrated circuits, logic elements matrix, programmable cally integrated circuit (FPGA), programmable logic device (PLG), specialized computers, etc.

In addition, a computer-readable storage medium is provided for storing instructions prompting the machine to perform the process described in accordance with the examples herein. In particular, we are talking about a system or device having a storage medium on which computer-readable program codes are stored to implement the functions of any of the above examples, which can cause the system or device (or central processor or microprocessor) to read and execute data stored on the storage medium software codes.

In this case, the program codes read from the data carrier may implement any of the above examples, therefore, these program codes and the data carrier on which the program codes are stored are part of the technical system.

A storage medium for providing program codes may include a floppy disk, a hard disk, a magneto-optical disk, and a compact disc (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), tape drive, flash drive, ROM, etc. The program code can be downloaded from the service machine via a data network.

It should be noted that, as an alternative to program codes executed by a computer, at least a portion of the operations performed by program codes can be implemented by an operating system operating on a computer, following instructions based on program codes to implement any of the above examples.

In addition, program codes implemented from the storage medium are recorded on a storage device in an expansion card inserted in a computer, or on a storage device in an expansion unit connected to a computer. In this example, the central processor in the expansion board or in the expansion unit performs at least a portion of the operations in accordance with code-based instructions for implementing any of the above examples.

The foregoing does not limit the invention, but are only preferred embodiments thereof. The scope of this invention includes any modifications, equivalent replacements and improvements made without departing from its idea and principle.

Industrial applicability and beneficial effects

Examples of industrial applicability and some of the beneficial effects of the described embodiments are listed for the purpose of illustration and without limiting the scope of any claim and / or description. Various changes, modifications, and equivalents to the technical solutions of the disclosed embodiments of the invention may be apparent to those skilled in the art and are included in this description.

Using the disclosed systems and methods, the browser classifies each website within the history of website visits, calculates the score of each classifier of each website, ranks various classifiers according to these points and selects a set number of classifiers, then the server generates the recommended information associated with classifiers, and transfers the generated recommended information to the browser for display. Thus, in the present invention, by classifying the websites in the history of website visits, selecting the classifiers with the highest scores and generating the recommended information by the server according to the selected classifiers, the provision of recommended information for each browser of the mobile terminal based on the history of visits to the web can be achieved. sites accessed by the user. Essentially, the recommended information transmitted to the browser of the mobile terminal has sufficient specificity and accuracy to satisfy the various needs of different users.

Claims (18)

1. A method of providing recommended information for a browser of a mobile terminal, comprising:
classification by the browser of the mobile terminal of each website within the history of visits to websites using at least one classifier, calculating the score of each of at least one classifier of each website, summing the points of identical classifiers to obtain the total result of each classifier, and the corresponding The website classifier is a characteristic of this website;
browser ranking of the mobile terminal of various classifiers in accordance with the summary results; starting with the classifier with the highest score, selecting the set number of classifiers and transferring the selected classifiers to the server for the server to generate the recommended information associated with the classifiers;
receiving and displaying by the browser of the mobile terminal of the recommended information associated with the classifiers from the server. 2. The method of claim 1, wherein each website includes a primary classifier and a secondary classifier; calculating the score of each classifier of each website contains:
setting the first weight value and the second weight value, respectively, for the primary classifier and the secondary classifier of each website;
calculating the probability score of the selection of each website, multiplying the first weight value by the probability score of the selection of each corresponding website to obtain a multiplication result that can be used as a primary classifier score; multiplying the second weight value by the probability score of each respective website selection to obtain a multiplication result that can be used as a secondary classifier score. 3. The method of claim 1, wherein generating the recommended information associated with the classifiers and transmitting the generated recommended information to a browser for display comprises:
obtaining appropriate websites in accordance with accepted classifiers, generating website navigation information in accordance with the received websites, and transferring a browser start page containing website navigation information to a browser for display. 4. The method of claim 1, wherein generating the recommended information associated with the classifiers and transmitting the generated recommended information to a browser for display comprises:
setting an input element for the read content on the browser start page and transferring the browser start page to the browser for display;
receiving a request for readable content transmitted from the browser, generating a readable webpage associated with the received classifiers, and transmitting the generated readout webpage to the browser for display. 5. The method of claim 1, wherein generating the recommended information associated with the classifiers and transmitting the generated recommended information to a browser for display comprises:
generating message content associated with the accepted classifiers, embedding message content in a web page that the user accesses, and transferring the web page to a browser for display. 6. A system for providing recommended information for a browser of a mobile terminal, comprising:
browser and server;
moreover, the browser is configured to classify each website within the history of visits to websites using at least one classifier, calculate the score of each of at least one classifier of each website, summarize points of identical classifiers to obtain the total result of each classifier; ranking of various classifiers in accordance with the total results; starting with the classifier with the highest score, selecting the set number of classifiers and transferring the selected classifiers to the server, the classifier corresponding to the website is a characteristic of this website; and
the server is configured to receive classifiers from the browser, generate recommended information associated with the classifiers, and transmit the generated recommended information to the browser for display. 7. The system of claim 6, wherein each website includes a primary classifier and a secondary classifier; the browser includes a point calculation module configured to set the first weight value and the second weight value, respectively, for the primary classifier and secondary classifier of each website, calculate the probability score of the selection of each website, multiply the first weight value by the probability score of the selection of each corresponding web -site to obtain the result of multiplication, which can be used as a score of the primary classifier, multiplication of the second weight value by the probabilistic score of the selection of each relevant website to obtain a multiplication result that can be used as a secondary classifier score. 8. The system according to claim 6 or 7, in which the server includes a first module for generating recommended information configured to receive the respective websites in accordance with the accepted classifiers, generate information for navigating the website in accordance with the received websites and transmitting the browser homepage containing the navigation information of the website to the browser for display. 9. The system of claim 6 or 7, wherein the server includes a second module for generating recommended information configured to set an input element for the read content on the browser start page and transmit the browser start page to the browser to display, receive a request for read content transmitted from a browser, generating a webpage of readable content associated with the received classifiers, and transmitting the generated webpage of readable content to a browser for display. 10. The system of claim 6 or 7, wherein the server includes a third module for generating recommended information configured to generate advertising content associated with the accepted classifiers, embed the advertising content in a web page that the user accesses, and transmit Web pages in a browser to display. 11. A method of providing recommended information for a browser of a mobile terminal, comprising:
analysis by the browser of the mobile terminal of the history of visits to websites accessed by the user using the browser of the mobile terminal in order to determine user preferences;
initiative message by the browser of the mobile terminal of the user's preferences to the server;
server accepting user preferences and generating recommended information based on user preferences;
providing the server with the recommended information to the browser for display;
moreover, the analysis by the browser of the mobile terminal of the history of visits to websites accessed by the user using the browser of the mobile terminal to determine user preferences, contains:
classification by the browser of the mobile terminal of each website within the history of visits to websites using at least one classifier, calculating the score of each of at least one classifier of each website, summing the points of identical classifiers to obtain the total result of each classifier, and the corresponding The website classifier is a characteristic of this website;
browser ranking of the mobile terminal of various classifiers in accordance with the summary results; starting with the classifier with the highest score, a sample of the set number of classifiers;
moreover, the message user preferences on the server contains:
transfer of selected classifiers to the server. 12. The method according to p. 11, in which the generation of recommended information based on user preferences contains:
Intelligent comparison by the server of information on website navigation, information about the read content or message content with the user's preference. 13. The method according to p. 11, in which the generation of recommended information based on user preferences contains:
generating recommended information associated with the selected classifiers. 14. A computer-readable storage medium comprising a set of instructions for providing recommended information for a browser of a mobile terminal, the set of instructions being intended to prompt at least one processor to perform the following actions:
classification of each website within the history of visits to websites using at least one classifier, calculating the score of each of at least one classifier of each website, summing the points of identical classifiers to obtain the total result of each classifier, and the corresponding website a classifier is a characteristic of this website;
ranking of various classifiers in accordance with the total results; starting with the classifier with the highest score, selecting the set number of classifiers and transferring the selected classifiers to the server for the server to generate the recommended information associated with the classifiers;
receiving and displaying recommended information associated with classifiers from the server. 15. The computer-readable storage medium according to claim 14, wherein each website includes a primary classifier and a secondary classifier; calculating the score of each classifier of each website contains:
setting the first weight value and the second weight value, respectively, for the primary classifier and the secondary classifier of each website;
calculating the probability score of the selection of each website, multiplying the first weight value by the probability score of the selection of each corresponding website to obtain a multiplication result that can be used as a primary classifier score; multiplying the second weight value by the probability score of each respective website selection to obtain a multiplication result that can be used as a secondary classifier score. 16. The computer-readable storage medium according to claim 14, wherein generating recommended information associated with the classifiers and transmitting the generated recommended information to a browser for display comprises:
obtaining appropriate websites in accordance with accepted classifiers, generating website navigation information in accordance with the received websites, and transferring a browser start page containing website navigation information to a browser for display. 17. The computer-readable storage medium according to claim 14, wherein generating recommended information associated with the classifiers and transmitting the generated recommended information to a browser for display comprises:
setting an input element for the read content on the browser start page and transferring the browser start page to the browser for display;
receiving a request for readable content transmitted from the browser, generating a readable webpage associated with the received classifiers, and transmitting the generated readout webpage to the browser for display. 18. The computer-readable storage medium according to claim 14, wherein generating recommended information associated with the classifiers and transmitting the generated recommended information to a browser for display comprises:
generating message content associated with the accepted classifiers, embedding the message content in a web page that the user accesses, and transmitting the web page to a browser for display.

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